Z Huang, M Fey, C Liu, E Beysel, X Xu… - Robotics and Computer …, 2023 - Elsevier
Digital twin (DT) and artificial intelligence (AI) technologies are powerful enablers for Industry 4.0 toward sustainable resilient manufacturing. Digital twins of machine tools and …
As it tries to incorporate computer-based technology into the public services provided by businesses or organisations, the digital transformation process is currently regarded one of …
Model-based System Engineering (MBSE) of the Internet of Things (IoT) literature is broad, and analysis of this literature enables the identification of themes and potential future study …
The digital transformation of production (“Industry 4.0”) has the potential to enormously accelerate and improve the efficiency of manufacturing processes and value chains. But it …
D Bano, J Michael, B Rumpe, S Varga… - Journal of Computer …, 2022 - Elsevier
The engineering of digital twins and their user interaction parts with explicated processes, namely process-aware digital twin cockpits (PADTCs), is challenging due to the complexity …
Artificial Intelligence (AI) has become ubiquitous in medicine, business, manufacturing and transportation, and is entering our personal lives. Public perceptions of AI are often shaped …
Cyber-Physical Production Systems (CPPSs) are envisioned as next-generation adaptive production systems combining modern production techniques with the latest information …
Digital twins are seen as core technologies to tackle the growing complexity of cyber- physical systems to better understand, monitor, and optimize their behavior. Digital twin …
Industry 4.0 is fast becoming a mainstream goal, and many companies are lining up to join the Fourth Industrial Revolution. Small and medium-sized enterprises, especially in the …